Scholarlink

The increasing prevalence of cardiovascular and respiratory illnesses has highlighted the demand for remote and continuous health monitoring systems. This paper describes an affordable and scalable IoT-based health monitoring system for the real-time measurement of essential physiological parameters. The system uses the AD8232 Electrocardiogram (ECG) sensor and MAX30100 Peripheral Capillary Oxygen Saturation (SpO2) sensor in conjunction with a NodeMCU ESP8266 microcontroller. It uses Message Queuing Telemetry Transport (MQTT) protocol for data transmission to the IoT Ubidots platform. The measured parameters are presented in a graphically friendly view and are stored for future analysis. The system further comprises an automated alert system which alerts users when SpO2 becomes less than a threshold value of 90%. This wireless system makes early anomaly detection easier and also allows medical interventions to be made at the right time.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Real Time Health Monitoring System Using AD8232 and MAX30100 Sensor with ESP8266

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Saraswati Patil,
  • Kunal Thakare,
  • Soham Tawari,
  • Manas Toshniwal,
  • Roshesh Tembhurkar

摘要

The increasing prevalence of cardiovascular and respiratory illnesses has highlighted the demand for remote and continuous health monitoring systems. This paper describes an affordable and scalable IoT-based health monitoring system for the real-time measurement of essential physiological parameters. The system uses the AD8232 Electrocardiogram (ECG) sensor and MAX30100 Peripheral Capillary Oxygen Saturation (SpO2) sensor in conjunction with a NodeMCU ESP8266 microcontroller. It uses Message Queuing Telemetry Transport (MQTT) protocol for data transmission to the IoT Ubidots platform. The measured parameters are presented in a graphically friendly view and are stored for future analysis. The system further comprises an automated alert system which alerts users when SpO2 becomes less than a threshold value of 90%. This wireless system makes early anomaly detection easier and also allows medical interventions to be made at the right time.